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Springer Signal Processing Algorithms in MATLAB and C Book

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Description

Develop and implement high-performance algorithms with Verified Signal Processing Algorithms in MATLAB and C. Advised by Israel Greiss, this Springer publication serves as an instantly applicable guide for engineers working with signal processing. The book provides a rich collection of recipes for essential applications, including FIR, IIR, FFT, correlation, complex FIR, and adaptive filters. Designed for speed to market, this resource helps professionals build working systems using building blocks implemented in FPGA firmware or C language software. It is ideal for those running applications on an SBC or DSP. Whether you are developing in MATLAB or implementing via C, this book provides the technical foundation needed to create reliable, verified signal processing systems.

Key Features

This Springer book provides a rich collection of recipes for applied signal processing, including FIR, IIR, FFT, and adaptive filters.

Engineers can use these verified algorithms to develop systems in both MATLAB and the C programming language.

The content is designed to help users implement working systems in the shortest time to market.

The book covers building blocks for implementation in FPGA firmware or C language software.

This guide is structured for use on hardware such as an SBC or DSP.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 April 2022
Listed Since
17 November 2021

Barcode

No barcode data available

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